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Michael Beyeler

Affiliations: 
University of Washington, Seattle, Seattle, WA 
Area:
Computational neuroscience, visual prostheses
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Parents

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Elisabetta Chicca research assistant 2009-2010 ETH/Uni Zurich
Nikil Dutt grad student 2012-2016 UC Irvine (Computer Science Tree)
Jeffrey L. Krichmar grad student 2012-2016 UC Irvine
Geoffrey Boynton post-doc 2016- University of Washington
Ione Fine post-doc 2016- University of Washington
Ariel Rokem post-doc 2016- University of Washington

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Publications

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Beyeler M, Rounds EL, Carlson KD, et al. (2019) Neural correlates of sparse coding and dimensionality reduction. Plos Computational Biology. 15: e1006908
Beyeler M, Nanduri D, Weiland JD, et al. (2019) A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports. 9: 9199
Beyeler M, Rokem A, Boynton G, et al. (2017) Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies. Journal of Neural Engineering
Beyeler M, Dutt N, Krichmar JL. (2016) 3D Visual Response Properties of MSTd Emerge from an Efficient, Sparse Population Code. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 8399-415
Beyeler M, Oros N, Dutt N, et al. (2015) A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks : the Official Journal of the International Neural Network Society
Beyeler M, Richert M, Dutt ND, et al. (2014) Efficient spiking neural network model of pattern motion selectivity in visual cortex. Neuroinformatics. 12: 435-54
Beyeler M, Dutt ND, Krichmar JL. (2013) Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks : the Official Journal of the International Neural Network Society. 48: 109-24
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